Research and Application of Clustering Algorithm in the Behavior Analysis of Key Electric Power Customers

The research and application of behavior analysis plays an important role in the behavior of key electric power customers, but there is the problem of inaccurate behavior positioning. The traditional ant colony algorithm cannot solve the research and application problems in the behavior of large power customers, and the effect is not satisfactory. Therefore, this paper proposes the research and application of electric power key customer behavior analysis based on clustering algorithm and analyzes the research and application in power key customer behavior analysis. Firstly, the cluster analysis theory is used to locate the influencing factors, and the indicators is divided according to the requirements of behavior analysis research and application, so as to reduce the interference factors in the research and application of behavior analysis. Then, the cluster analysis theory is used to form the research and application scheme of behavior analysis of clustering algorithm, and the research and application results of behavior analysis is comprehensively analyzed. The MATLAB simulation results show that under certain evaluation criteria, the clustering algorithm is superior to the traditional ant colony algorithm in terms of accuracy of behavior analysis research and application, and time of behavior analysis research and application of influencing factors.